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Filtering by: Creator Chi, Nan-Hsun Remove constraint Creator: Chi, Nan-Hsun Committee Member Sarma, Anita Remove constraint Committee Member: Sarma, Anita

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  • How do Programmers Forage through Variants? Modeling Hierarchical Foraging and Changelogs

    Creator:
    Pandya, Bhargav Chandravadan
    Abstract:
    Complex information environments are often organized as hierarchies. However, computational models of Information Foraging Theory (IFT) have almost entirely ignored this fact. Models and tools for predicting programmer navigations have ignored people’s foraging behavior across hierarchies —called hierarchical foraging. Without modeling hierarchical foraging, our ability to build tools to support...
    Resource Type:
    Masters Thesis
    Full Text:
    the web [41]. Chi et al. built WUFIS to analyze the usability of websites by simulating users’ scent

  • Version Control Systems: An Information Foraging Perspective

    Creator:
    Srinivasa Ragavan, Sruti
    Abstract:
    Software history and version control systems (VCS) are an important source of information for developers. This entails the need for a principled understanding of developers’ information seeking in VCS, both for improving existing tools as well as understanding requirements for new tools. However, it is only recently that researchers have...
    Resource Type:
    Masters Thesis

  • How does AAR/AI Support Problem Solvers with Diverse Behaviors and Cognitive Styles?

    Creator:
    Dikkala, Rupika
    Abstract:
    "What’s wrong with this AI?" Explainable AI (XAI) researchers are moving beyond explaining an AI’s actions, to helping users detect an AI’s failures. However this detection may not be enough—for actionability, we often need to pinpoint which part failed. We investigate how AAR/AI, a structured assessment process, supports users with...
    Resource Type:
    Masters Thesis
    Full Text:
    psychology, which provides fundamentals of how to explain complex ideas to humans. Chi et al. [13] found

  • Variations Foraging

    Creator:
    Srinivasa Ragavan, Sruti
    Abstract:
    Information Foraging Theory (IFT) has successfully explained how people seek information in various domains, in turn, informing the design of several tools and information-intensive environments. However, prior research has not explored foraging in the presence of several, very similar variants of the same artifact. Such variants are commonplace in several...
    Resource Type:
    Dissertation
    Full Text:
    same lines, Chi et al. built two other predictive models, namely WUFIS and IUNIS, to establish the